• Mining of Evolving Data Streams with Privacy Preservation
• Data Mining Grand Challenges
• Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms
• Spectral Energy Minimization for Semi-supervised Learning
• Discriminative Methods for Multi-labeled Classification
• Subspace Clustering of High Dimensional Spatial Data with Noises
• Constraint-Based Graph Clustering through Node Sequencing and Partitioning
• Mining Expressive Process Models by Clustering Workflow Traces
• CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees
• Secure Association Rule Sharing
• Self-Similar Mining of Time Association Rules
• ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm
• A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network
• An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams
• Blind Data Linkage Using n-gram Similarity Comparisons
• Condensed Representation of Emerging Patterns
• Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured Documents
• Mining Term Association Rules for Heuristic Query Construction
• FP-Bonsai: The Art of Growing and Pruning Small FP-Trees
• Mining Negative Rules Using GRD

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